Sinan Uğur Umu
Sinan Uğur Umu
Cancer Registry of Norway, Oslo, Norway
Verified email at - Homepage
Cited by
Cited by
A comprehensive profile of circulating RNAs in human serum
SU Umu, H Langseth, C Bucher-Johannessen, B Fromm, A Keller, ...
RNA biology 15 (2), 242-250, 2018
Robust identification of noncoding RNA from transcriptomes requires phylogenetically-informed sampling
S Lindgreen, SU Umu, ASW Lai, H Eldai, W Liu, S McGimpsey, ...
PLoS Comput Biol 10 (10), e1003907, 2014
A comprehensive benchmark of RNA–RNA interaction prediction tools for all domains of life
SU Umu, PP Gardner
Bioinformatics 33 (7), 988-996, 2017
Avoidance of stochastic RNA interactions can be harnessed to control protein expression levels in bacteria and archaea
SU Umu, AM Poole, RCJ Dobson, PP Gardner
eLife 5, 2016
A probabilistic approach to microRNA-target binding
H Oğul, SU Umu, YY Tuncel, MS Akkaya
Biochemical and biophysical research communications 413 (1), 111-115, 2011
A high-resolution map of the human small non-coding transcriptome
T Fehlmann, C Backes, J Alles, U Fischer, M Hart, F Kern, H Langseth, ...
Bioinformatics 34 (10), 1621-1628, 2018
TaME-seq: An efficient sequencing approach for characterisation of HPV genomic variability and chromosomal integration
S Lagström, SU Umu, M Lepistö, P Ellonen, R Meisal, IK Christiansen, ...
Scientific reports 9 (1), 1-12, 2019
Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity
TB Rounge, SU Umu, A Keller, E Meese, G Ursin, S Tretli, R Lyle, ...
Scientific reports 8 (1), 1-13, 2018
A 10 year prediagnostic followup study shows that serum RNA signals are highly dynamic in lung carcinogenesis
SU Umu, H Langseth, A Keller, E Meese, Ĺ Helland, R Lyle, TB Rounge
Molecular Oncology, 2019
A meta-analysis of bioinformatics software benchmarks reveals that publication-bias unduly influences software accuracy
PP Gardner, JM Paterson, F Ashari-Ghomi, SU Umu, S McGimpsey, ...
BioRxiv, 092205, 2017
Trainer: A general-purpose trainable short biosequence classifier
H Oqul, AT Kalkan, SU Umu, MS Akkaya
Protein Pept Lett, 2013
PO-096 Natural variation in serum small non-coding rnas–potential biomarkers of cancer
SU Umu, R Lyle, H Langseth, TB Rounge
ESMO Open 3 (Suppl 2), A263-A264, 2018
RNA Sequencing of Hepatobiliary Cancer Cell Lines: Data and Applications to Mutational and Transcriptomic Profiling
D Scherer, MD Dávila López, B Goeppert, S Abrahamsson, ...
Cancers 12 (9), 2510, 2020
Serum RNA profiling in the 10-year period prior to diagnosis of testicular germ cell tumour
J Burton, SU Umu, H Langseth, T Grotmol, TK Grimsrud, TB Haugen, ...
medRxiv, 2020
PO-073 Small non-coding RNA in serum from testicular germ cell tumour patientsidentified by machine learning
J Burton, H Hammer, S Umu, H Langseth, T Grotmol, T Grimsrud, ...
ESMO Open 3 (Suppl 2), A255-A256, 2018
Impact of age, sex, smoking, body mass and physical activity on circulating small non-coding RNA expression profiles
TB Rounge, SU Umu, A Keller, E Meese, G Ursin, S Tretli, R Lyle, ...
Cancer Research 78 (13 Supplement), 524-524, 2018
Natural avoidance of stochastic mRNA: ncRNA interactions can be harnessed to control protein expression levels
SU Umu, AM Poole, RCJ Dobson, PP Gardner
bioRxiv, 033613, 2016
Investigating prokaryotic transcriptomes and the impact of crosstalk between noncoding RNA and messenger RNA interactions
SU Umu
University of Canterbury, 2016
TRAINER: A General-Purpose Trainable Short Biosequence Classifer
H OĞUL, A Kalkan, S Umu, M AKKAYA
Mining fungal effector candidates in biotrophic plant pathogens: rusts and mildews
SU Umu
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